EV Charge Profile Management System
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Solution Overview
Problem
Electric vehicles face limited range due to constrained battery energy storage capacity, which is often not efficiently utilized as users may forget to charge their vehicles, leading to compromised battery health and reduced range.
Innovation Solution
A system and apparatus that provides a user interface for creating and managing charge profiles, linking with utility providers to optimize charging based on user preferences and location data, ensuring efficient battery charging through telematics and wireless connectivity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Weight of moving object
If the onboard battery system has limited energy storage capacity, then the vehicle can meet weight and size constraints, but the range-per-charge is reduced compared to fuel-powered vehicles
Solution Approach 1:
The system performs preliminary actions by automatically initiating charging operations before the battery is fully depleted. The charging system monitors battery state of charge and autonomously connects to charging infrastructure, ensuring the battery is recharged during optimal time windows before range becomes critical, thus compensating for the limited capacity without requiring larger batteries.
2Ease of operation
If the user manually manages charging, then charging can be performed, but the user may forget to plug in the vehicle leading to compromised battery health and reduced range
Solution Approach 1:
The charging system operates autonomously without requiring user intervention. The system self-monitors battery charge state, automatically identifies and connects to appropriate charging infrastructure, manages the charging process, and maintains optimal charge levels. This eliminates the risk of user forgetfulness while maintaining battery health and range through reliable automated charge state management.
Solution Approach 2:
The system continuously monitors battery state of charge, charging infrastructure availability, and vehicle usage patterns. This feedback loop enables the system to adaptively adjust charging schedules, predict when charging is needed, and ensure the battery maintains optimal charge levels, thereby reliably preventing range compromise while easing user burden.
3Quantity of substance
If high-capacity battery cells are used to increase energy storage, then the battery capacity increases, but the cost becomes prohibitively expensive
Solution Approach 1:
Rather than equipping vehicles with excessively large battery capacities that would be prohibitively expensive, the system uses moderate-capacity batteries optimized for typical usage patterns. The automated charging system compensates by ensuring these batteries are charged optimally and frequently, effectively extending the practical range without requiring expensive high-capacity battery packs.
Data Source
AI summary
The described principles provide a method and system for assisting a user of an electric vehicle in maintaining a charge state of the chargeable onboard energy storage system. In an implementation, an intuitive remote interface allows the user to create, modify, save and select profiles. The user may select a profile to apply at a current time as well as optionally at a later time. A profile may have a date limitation or day of week limitation in addition to a time limitation. In an implementation, the user may opt to apply a selected profile to a plurality of vehicles. A linkage with utility data allows for the use of rate-based criteria in an implementation.